Explanation​:
Case studies are valuable for generating hypotheses and initial insights into a phenomenon (A), which can then be investigated further using other research methods. Choices B, C, and D are all limitations of case studies.

Explanation​:
When conducting a natural experiment, the researchers may not have complete control over the experimental conditions, which could result in extraneous variables causing confounding effects.

Natural experiments enhance generalizability due to their real-world context (choice D). Natural experiments can help identify causation when appropriate conditions are met (choice C). Natural experiments involve manipulating independent variables in a real-world setting (A).

Explanation​:
Construct validity is concerned with whether a measure accurately captures the underlying construct it is meant to represent. The other options relate to different types of validity: (D) content validity refers to whether items adequately represent the content domain, (B) face validity is a superficial assessment of whether a measure appears valid, and (C) concurrent validity measures the agreement between a new measure and an established measure.

Explanation​:
Choice A ($-0.72$) is correct because it is the value closest to $-1.00$ or $+1.00$ compared to the other values.

Choice A is linked to the precision of results, B and C are not potential limitations to generalisability of results in this context.

Explanation​:
Correlational studies examine relationships between variables without experimental manipulation. Since participants are not randomly assigned, selection bias may be a concern.

As for the other choices, (A) field experiments use experimental designs with manipulation, which may reduce selection bias, (B) true experiments involve random assignment, also reducing selection bias, which is the same with quasi-experiments (C).

Explanation​:
Focus group discussions or FGDs (D) involve interactions among participants, making it well suited to study interactions, dynamics, and shared viewpoints within a group setting.

Case studies (A) and unstructured interviews (B) may not fully capture group interactions and dynamics compared to FGDs. Although naturalistic observations (C), can give insight to group behaviours in a group setting, it may not capture the same level of discussions in focus groups.

Explanation​:
The participants were not gathered because they were readily available (choice C). To add, no groups were used, which rules out cluster and stratified sampling (choice C & D). Instead, the participants were randomly chosen, and each employee had the same chance of being included in the employee satisfaction survey (choice B).

Explanation​:
When conducting interviews, participants might alter their answers to align with what they believe the interviewer expects, potentially distorting the accuracy of the data collected.

Choice A is linked to the experimenter's influence, B and D does not apply to participants changing their responses to please the interview.

Explanation​:
Participants may change their behaviour in response to cues they perceive in the research setting that suggest a particular behaviour is expected. This can occur even if the researcher did not intend for it to happen, and is known as demand characteristics.

Choices A, B, and C are all examples of biases but these biases do not involve participants’ behaviour changes due to cues.

Explanation​:

Experiments are an appropriate research method to study cognition and technology as they allow researchers to control the variables, enabling them to see the effect of the IV on the DV, thereby making the study reliable (can be repeated) and valid ( establish accuracy of the results).

B is incorrect, as field experiments do not allow for the control of extraneous variables, reducing the validity of the results.

A and D are qualitative research methods and would not help to establish a cause-and-effect relationship

Explanation​:
Gottman & Gottman (2017) conducted longitudinal research using data and method triangulation. To understand the natural principles of love, their research used both qualitative and quantitative methods to collect detailed data. Observation method, biometric data, audio/video data, polygraphs and electrocardiograms, interviews and questionnaires were used.

Explanation​:
Structured interviews (C) involve predetermined questions and a standardized approach, giving the researcher the most control over the interview process. This method is useful when consistency and comparability across participants are essential.

On the other hand, case studies (A) are more flexible and context-dependent, allowing for a greater degree of variability in the research process.

Unstructured interviews (B) are open-ended and flexible, providing participants with more control over the direction of the conversation, and semi-structured interviews set a balance between predetermined questions and participant-led discussions, offering more flexibility than structured interviews.

Explanation​:
The dependent variable is the variable that is being measured or observed in the study. In this case, weight loss (D) is being measured to see the effect of regular exercise. The other options (A, B) all represent variables that may be controlled to ensure that they do not affect the study’s outcomes, and choice C, exercise, is the independent variable that may be manipulated.

Explanation​:
The high motivation and self-selection of participants can introduce bias and limit the ability to draw causal conclusions, which decreases internal validity (B). However, it may not necessarily impact external validity (A), generalisability (C), and reliability (D) of findings.

Explanation​:
By using random assignment, it becomes more likely that participants will be evenly distributed between the experimental and control groups, reducing the likelihood of confounding variables influencing the results. The other options are not suitable because (A) relates to statistical power, (C) refers to a research design, and (D) refers to a different research method.

Explanation​:
Informed consent is a process in which research participants receive clear and comprehensive information about a study (B). The right to withdrawal (A) is the participant's choice of whether to continue participating in the research and may tie with informed consent. Confidentiality (D) is about keeping information private, and anonymity (C) means that no one can link a participant to their data.

Explanation​:
Matched pairs design involves pairing participants based on some characteristic before assigning them to different treatment groups. This helps control individual differences and reduces the risk of confounding variables affecting the results (B).

Matched pairs design doesn't necessarily result in larger sample sizes (A). Experimenter bias is unrelated to the choice of research design (C), and the research designs don't necessarily determine the study's duration (D).

Explanation​:
The participant's right to withdraw (C) ensures they can leave the study at any time without facing pressure or consequences. Minimal physical and psychological harm (B & A) focuses on minimising participant distress and anonymity (D) relates to keeping participants' identities hidden.

Choices C and D are clinical disorders that would not be caused by the process of diagnosis alone.

Explanation​:
Instrumental case studies (B) are specifically selected to illustrate certain psychological phenomena which render it easily transferrable to various contexts and experiences of people. Intrinsic case studies (A) investigate unique cases and has minimal transferability and choices C (exploratory case study) and D (explanatory case study) may also be transferable but instrumental case studies are developed with the intention of enhancing transferability.

Explanation​:
In a field experiment, researchers manipulate variables in a real-world setting (natural environment) while maintaining a degree of control over the experimental conditions (choice B). This contrasts with a laboratory experiment where researchers have more control over the environment.

Choice A describes a laboratory experiment, not a field experiment.

Random assignment is a common feature in experiments but not unique to field experiments (C), and field experiments involve experimental manipulation, not just observational data collection (D).

Explanation​:
In a purposive sampling technique (choice D), participants are picked because they possess characteristics salient to the study, which is in this case, single, working mothers, in urban areas.

Choice A is a sampling technique which gives the target population an equal chance of being selected. Choice B, stratified sampling, involves acquiring a representative sample from a population that researchers have categorized into relatively homogeneous subpopulations or strata. With convenience sampling (choice C), the researcher selects a sample that is easily accessible non-randomly.

Explanation​:
Naturalistic observation involves directly observing behaviors within their natural context, making it particularly suitable for understanding cultural norms, practices, and behaviors without significant researcher interference.

While case studies (C) can capture cultural aspects, they often involve more in-depth exploration of specific instances rather than direct observation of cultural behaviors. Interviews (D) rely on participant accounts and might not provide the same level of direct observation of cultural practices, and focus group discussions (A) involve participant interactions and discussions, which might not capture cultural behaviors as directly as naturalistic observation.

Explanation​:
The researchers need to ensure that participants' distress (D) during the simulated emergency doesn't exceed the normal range of emotional responses. Anonymity (A) is about keeping participants' identities hidden, confidentiality (C) involves protecting participants' personal information, and deception (B) is about misleading the research participants to meet the goals of the study.